Responsibilities
- Develop and maintain data quality and accuracy dashboards, and scorecards to track data quality and model performance.
- Develop, maintain, and enhance a comprehensive data quality framework that defines data standards, quality and accuracy expectations, and validation processes.
- Enhance our data quality through rapid testing, feedback and insights.
- Partnering with Engineering & Product to predict data quality issues and production flaws.
- Conceptualize data architecture (visually) and implement practically into logical structures.
- Performing testing of data after ingesting and database loading.
- Manage internal SLAs for data quality and frequency.
- Provide expert support for solving complex problems of data integration across multiple data sets.
- Updating and evolving our data ecosystem to streamline processes for maximum efficiency.
